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Yan Li

Yan Li has 2 papers in our library, in 2023–2026, most of them on Summarization; often with Eduard Hovy, Haifeng Chen, Shuo Yang.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 10 · 36 works · 527 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 63 times in our library · ⭐ Paper Stars ranking: #6230

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Southern QueenslandToowoomba · Australia2022–2026 · 2 paperscurrent🎓Chongqing UniversityChongqing · China2023–2025 · 5 papers🏢State Grid Corporation of ChinaBeijing · China2022–2025 · 4 papers🎓University of MichiganAnn Arbor · United States2014–2022 · 4 papers🎓University of ConnecticutStorrs · United States2020–2021 · 4 papers🎓Shenzhen Polytechnic UniversityShenzhen · China2014–2025 · 3 papers🔬State Key Laboratory of Coal Mine Disaster Dynamics and ControlChongqing2023–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 21 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Summarization · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization (2023 · 141 citations)
    Earlier work on large language models for summarization mostly examined generic news summaries. This paper asks how ChatGPT performs in the harder, user-driven setting where a summary must answer a specific query or cover a given aspect. The authors tested it on four public benchmarks from different domains: QMSum…
  2. EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection (2026 · 6 citations)
    LLM agents that call external tools often fail in long, multi-step tasks. Feedback usually arrives only at the end, so it is hard to tell which step caused a failure. Prior optimizers either rewrite the whole agent prompt, which can break unrelated behaviors, or tune a single component and miss errors that spread…

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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